import time 
import numpy as np
import pymysql 
import pandas as pd
from datetime import datetime

import pymysql.cursors

class MysqlUtils(object):
    def __init__(self, *args):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user="root",
            passwd="root",
            db="scenic",
            port=3306,
            charset="utf8"
        )
    
    def get_scenic_data(self):
        """获取数据
        """
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT 
            t.tourist_agency_name, 
                rel.id_no, 
                left(rel.id_no, 2) as province_code, 
                DAYOFWEEK(gate.create_time) as 'non_weekend', 
                CAST(SUBSTRING(rel.id_no, 7, 4) as UNSIGNED) as age
        FROM ticket_order_user_rel rel 
        LEFT JOIN ticket_order t on t.id = rel.order_id 
        LEFT JOIN order_user_gate_rel gate on gate.ticket_rel_id = rel.id 
        WHERE t.tourist_agency_name != '' and t.pay_time != ''
        """
        
        cursor.execute(sql)
        ret = cursor.fetchall()
        
        df = pd.DataFrame(ret)
        # print(df.head)
        
        # 数据清洗
        df['non_weekend'] = df['non_weekend'].apply(lambda x: 1 if x not in [1, 7] else 0)
        
        # 新增有效标记列，即记录是否有id_no
        df['valid_id'] = df['id_no'].apply(lambda x : 1 if x and str(x).split != '' else 0)
        # # 计算比例
        df['out_province_ratio'] = df.apply(
            lambda x : 1 if(x['valid_id'] and x['province_code'] != '44') else 0 if x['valid_id'] else np.nan,
            axis=1
        )
        df['elderly_ratio'] = df.apply(
            lambda x: 1 if (x['valid_id'] and 2025 - int(x['age']) >= 60) else 0 if x['valid_id'] else np.nan,
            axis=1
        )
        
        # 分组聚合计算占比
        result = df.groupby(['tourist_agency_name']).agg(
            total_visitors=('id_no', 'count'), # 总游客数
            valid_visitors=('valid_id', 'sum'), # 有效身份证游客数
            out_province=('out_province_ratio', 'sum'), # 外省人数（仅有效ud)
            elderly=('elderly_ratio', 'sum'), # 老年人人数（仅有限id)
            non_weekend_ratio=('non_weekend', 'mean') # 非周末占比
        ).reset_index()
        
        # 计算实际比例
        result['out_province_retio'] = result['out_province'] / result['valid_visitors'].replace(0, np.nan)
        result['elderly_retio'] = result['elderly'] / result['valid_visitors'].replace(0, np.nan)
        
        # 清除中间列
        result = result.drop(['out_province', 'elderly'], axis=1)
        result['out_province_retio'] = result['out_province_retio'].fillna(0)
        result['elderly_retio'] = result['elderly_retio'].fillna(0)
        
        # print(result.head)
        result.to_csv('scenic_data.csv')
    
if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scenic_data()
    
        